measure-theoretic entropy
PulseAugur coverage of measure-theoretic entropy — every cluster mentioning measure-theoretic entropy across labs, papers, and developer communities, ranked by signal.
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New neural network method achieves arbitrary accuracy for complex functions
Researchers have developed a new method for approximating multivariate Hölder-continuous functions using feedforward neural networks. The study establishes the minimum number of hidden neurons required for arbitrary acc…
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Neural networks don't beat curse of dimensionality, study claims
A new paper proposes a bit-complexity framework for evaluating approximation methods, arguing that the traditional 'curse of dimensionality' is misleading. The research suggests that when computational bit complexity is…
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Withdrawn arXiv paper links metric entropy to RKBS embeddability
A research paper, recently withdrawn by its author Yiping Lu, explored the relationship between metric entropy and the embeddability of function spaces into reproducing kernel Banach spaces (RKBS). The study established…